Data Analyst, Texas McCombs

Data Analysis and ReportingCollect, clean, and analyze large and complex data sets to identify trends, insights, and opportunities for improving services and programs.Strategize on making analyses easily repeatable and generalizable by other team members in the future by documenting methodology and validation.Manage employment data analytics for career coaching teams; lead all internal and external reporting requests. Requests include and are not limited to: outcome and employment data submissions, media requests, annual employment reports, reports to the Dean, employers, faculty, and department inquiries.Develop data visualization dashboards (via Power BI, Tableau, Smartsheet, etc.) that outline industry and function YOY trends, leveraging past employment data, and forecasted data from current student surveys. Trend analysis will provide career coaching teams with just-in-time analysis that can allow the teams to adjust content to meet dynamic student needs.Data Collection and ManagementDevelop and implement processes to maintain, collect, link, and analyze data from various sources (e.g., Report McCombs, McCombs Analytics Reporting System), including internal and external systems, to produce strategic, operational, and tactical dashboards.Conduct surveys and other forms of data collection to assess student needs and satisfaction with services and programs.Ensure data quality and accuracy through regular audits and quality control measures.Innovation, Strategy, and TechnologyStay up-to-date on industry trends and emerging data analysis and reporting technologies.Collaborate with colleagues across the college (e.g., Program Offices) to share data and insights and foster a culture of data-informed decision-making.Identify opportunities for data-driven innovation in Career Management, such as using artificial intelligence and machine learning.Use technical expertise to advise on procedure changes and platform functionality that support achieving CEandCs outcome goals.Manage and maintain the technical aspects of McCombs Analytics Reporting System and/or Report McCombs, ensuring our systems operate at peak performance and according to industry best practices.Predictive Modeling and Statistical AnalysisBuild KPI scorecard and tracking process for the CMCR department. Identify and track KPIs that define performance success across career coaching, employer/alumni partnerships, and recruiting operations teams. KPIs will tie to the annual goal setting and performance review process.Support the development of predictive models and statistical analyses to identify patterns and predict career outcomes.